• DocumentCode
    74114
  • Title

    Cognition flow in cognitive radio networks

  • Author

    Xu Wenjun ; Lin Jiaru ; Feng Zhiyong ; Xu Wenbo ; Zhang Ping

  • Author_Institution
    Key Lab. of Universal Wireless Commun. of Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    10
  • Issue
    10
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    74
  • Lastpage
    90
  • Abstract
    This paper introduces the research progress on the cognition flow in the National Basic Research Program of China (973 Program) under Grant No. 2009CB320400 “Research on Basic Theories and Key Technologies of Cognitive Radio Networks”. We present the motivation behind the proposal of the concept of cognition flow, provide the definition, discuss the features, behaviours, representations, mathematical models, and the functions of cognition flow in Cognitive Radio Networks (CRNs). We also analyse how the cognition flow promotes the convergence of heterogeneous networks. Our group also constructed the test platform to verify the usefulness of cognition flow. The results that were simulated by computers and tested on the platform both confirm that cognition flow can realise efficient interaction of cognitive information among heterogeneous networks in CRNs, which contributes to the seamless convergence of heterogeneous networks, and significantly improves the spectrum efficiency and users´ Quality of Experience (QoE).
  • Keywords
    cognitive radio; learning (artificial intelligence); telecommunication computing; cognition flow; cognitive information interaction; cognitive radio networks; heterogeneous network convergence; quality of experience; seamless convergence; spectrum efficiency; Cognitive radio; Convergence; Quality of service; Wireless sensor networks; CRN; QoE; cognition flow; heterogeneous network convergence;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2013.6650321
  • Filename
    6650321